Channel-optimized transform coding of imagery

Glen P. Abousleman, Tuyet Trang Lam, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a DCT-based image coder optimized for transmission over binary symmetric channels (BSC). The proposed coder uses a robust channel-optimized trellis-coded quantization (COTCQ) stage that is designed to optimize the image coding based on the channel characteristics. This optimization is performed only at the level of the source encoder, and does not include any channel coding for error protection. The robust nature of the coder increases the security level of the encoded bit stream and provides a much more visually pleasing rendition of the decoded image. Consequently, the proposed robust channel-optimized image coder is especially suitable for wireless transmission due to its reduced complexity, its robustness to non-stationary signals and channels, and its increased security level.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages80-90
Number of pages11
Volume3716
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 Visual Information Processing VIII - Orlando, FL, USA
Duration: Apr 6 1999Apr 6 1999

Other

OtherProceedings of the 1999 Visual Information Processing VIII
CityOrlando, FL, USA
Period4/6/994/6/99

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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    Abousleman, G. P., Lam, T. T., & Karam, L. (1999). Channel-optimized transform coding of imagery. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 3716, pp. 80-90). Society of Photo-Optical Instrumentation Engineers.